Overview

Dataset statistics

Number of variables21
Number of observations1649
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory270.7 KiB
Average record size in memory168.1 B

Variable types

Numeric20
Categorical1

Alerts

Adult Mortality is highly overall correlated with HIV/AIDS and 2 other fieldsHigh correlation
infant deaths is highly overall correlated with Measles and 4 other fieldsHigh correlation
Alcohol is highly overall correlated with Income composition of resources and 2 other fieldsHigh correlation
percentage expenditure is highly overall correlated with GDP and 3 other fieldsHigh correlation
Hepatitis B is highly overall correlated with Polio and 1 other fieldsHigh correlation
Measles is highly overall correlated with infant deaths and 1 other fieldsHigh correlation
BMI is highly overall correlated with thinness 1-19 years and 4 other fieldsHigh correlation
under-five deaths is highly overall correlated with infant deaths and 4 other fieldsHigh correlation
Polio is highly overall correlated with Hepatitis B and 1 other fieldsHigh correlation
Diphtheria is highly overall correlated with Hepatitis B and 1 other fieldsHigh correlation
HIV/AIDS is highly overall correlated with Adult Mortality and 3 other fieldsHigh correlation
GDP is highly overall correlated with percentage expenditure and 3 other fieldsHigh correlation
thinness 1-19 years is highly overall correlated with BMI and 4 other fieldsHigh correlation
thinness 5-9 years is highly overall correlated with BMI and 4 other fieldsHigh correlation
Income composition of resources is highly overall correlated with Adult Mortality and 12 other fieldsHigh correlation
Schooling is highly overall correlated with infant deaths and 11 other fieldsHigh correlation
Life expectancy is highly overall correlated with Adult Mortality and 11 other fieldsHigh correlation
Status is highly overall correlated with Alcohol and 3 other fieldsHigh correlation
GDP has unique valuesUnique
infant deaths has 395 (24.0%) zerosZeros
Measles has 554 (33.6%) zerosZeros
under-five deaths has 353 (21.4%) zerosZeros
Income composition of resources has 48 (2.9%) zerosZeros

Reproduction

Analysis started2023-10-23 08:17:18.291026
Analysis finished2023-10-23 08:19:27.509178
Duration2 minutes and 9.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Year
Real number (ℝ)

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.8405
Minimum2000
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:27.723856image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12005
median2008
Q32011
95-th percentile2014
Maximum2015
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0877105
Coefficient of variation (CV)0.0020358741
Kurtosis-1.0578616
Mean2007.8405
Median Absolute Deviation (MAD)3
Skewness-0.20017086
Sum3310929
Variance16.709377
MonotonicityNot monotonic
2023-10-23T16:19:27.975643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2014 131
 
7.9%
2013 130
 
7.9%
2011 130
 
7.9%
2012 129
 
7.8%
2010 128
 
7.8%
2009 126
 
7.6%
2008 123
 
7.5%
2007 120
 
7.3%
2006 114
 
6.9%
2005 110
 
6.7%
Other values (6) 408
24.7%
ValueCountFrequency (%)
2000 61
3.7%
2001 66
4.0%
2002 81
4.9%
2003 95
5.8%
2004 103
6.2%
2005 110
6.7%
2006 114
6.9%
2007 120
7.3%
2008 123
7.5%
2009 126
7.6%
ValueCountFrequency (%)
2015 2
 
0.1%
2014 131
7.9%
2013 130
7.9%
2012 129
7.8%
2011 130
7.9%
2010 128
7.8%
2009 126
7.6%
2008 123
7.5%
2007 120
7.3%
2006 114
6.9%

Status
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.0 KiB
Developing
1407 
Developed
242 

Length

Max length10
Median length10
Mean length9.8532444
Min length9

Characters and Unicode

Total characters16248
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDeveloping
2nd rowDeveloping
3rd rowDeveloping
4th rowDeveloping
5th rowDeveloping

Common Values

ValueCountFrequency (%)
Developing 1407
85.3%
Developed 242
 
14.7%

Length

2023-10-23T16:19:29.006910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-23T16:19:29.321139image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
developing 1407
85.3%
developed 242
 
14.7%

Most occurring characters

ValueCountFrequency (%)
e 3540
21.8%
D 1649
10.1%
v 1649
10.1%
l 1649
10.1%
o 1649
10.1%
p 1649
10.1%
i 1407
 
8.7%
n 1407
 
8.7%
g 1407
 
8.7%
d 242
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14599
89.9%
Uppercase Letter 1649
 
10.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3540
24.2%
v 1649
11.3%
l 1649
11.3%
o 1649
11.3%
p 1649
11.3%
i 1407
 
9.6%
n 1407
 
9.6%
g 1407
 
9.6%
d 242
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
D 1649
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16248
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3540
21.8%
D 1649
10.1%
v 1649
10.1%
l 1649
10.1%
o 1649
10.1%
p 1649
10.1%
i 1407
 
8.7%
n 1407
 
8.7%
g 1407
 
8.7%
d 242
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3540
21.8%
D 1649
10.1%
v 1649
10.1%
l 1649
10.1%
o 1649
10.1%
p 1649
10.1%
i 1407
 
8.7%
n 1407
 
8.7%
g 1407
 
8.7%
d 242
 
1.5%

Adult Mortality
Real number (ℝ)

HIGH CORRELATION 

Distinct369
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.21528
Minimum1
Maximum723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:29.603164image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q177
median148
Q3227
95-th percentile412.6
Maximum723
Range722
Interquartile range (IQR)150

Descriptive statistics

Standard deviation125.31042
Coefficient of variation (CV)0.74494074
Kurtosis2.4009446
Mean168.21528
Median Absolute Deviation (MAD)74
Skewness1.2764291
Sum277387
Variance15702.701
MonotonicityNot monotonic
2023-10-23T16:19:29.940403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 18
 
1.1%
12 18
 
1.1%
22 15
 
0.9%
144 15
 
0.9%
127 15
 
0.9%
13 14
 
0.8%
11 14
 
0.8%
189 14
 
0.8%
183 14
 
0.8%
138 14
 
0.8%
Other values (359) 1498
90.8%
ValueCountFrequency (%)
1 6
 
0.4%
2 8
0.5%
3 3
 
0.2%
4 3
 
0.2%
6 10
0.6%
7 7
 
0.4%
8 6
 
0.4%
9 7
 
0.4%
11 14
0.8%
12 18
1.1%
ValueCountFrequency (%)
723 1
0.1%
717 1
0.1%
715 1
0.1%
699 1
0.1%
693 1
0.1%
686 1
0.1%
679 1
0.1%
675 1
0.1%
666 1
0.1%
665 1
0.1%

infant deaths
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct165
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.553062
Minimum0
Maximum1600
Zeros395
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:30.286927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q322
95-th percentile110.2
Maximum1600
Range1600
Interquartile range (IQR)21

Descriptive statistics

Standard deviation120.84719
Coefficient of variation (CV)3.712314
Kurtosis85.319969
Mean32.553062
Median Absolute Deviation (MAD)3
Skewness8.4773694
Sum53680
Variance14604.043
MonotonicityNot monotonic
2023-10-23T16:19:30.614431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
24.0%
1 220
 
13.3%
2 142
 
8.6%
3 97
 
5.9%
4 62
 
3.8%
6 37
 
2.2%
8 31
 
1.9%
7 30
 
1.8%
10 28
 
1.7%
11 28
 
1.7%
Other values (155) 579
35.1%
ValueCountFrequency (%)
0 395
24.0%
1 220
13.3%
2 142
 
8.6%
3 97
 
5.9%
4 62
 
3.8%
5 26
 
1.6%
6 37
 
2.2%
7 30
 
1.8%
8 31
 
1.9%
9 17
 
1.0%
ValueCountFrequency (%)
1600 1
0.1%
1500 2
0.1%
1400 1
0.1%
1300 2
0.1%
1200 1
0.1%
1100 2
0.1%
1000 1
0.1%
957 1
0.1%
556 1
0.1%
549 1
0.1%

Alcohol
Real number (ℝ)

HIGH CORRELATION 

Distinct833
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5331959
Minimum0.01
Maximum17.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:30.988973image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.81
median3.79
Q37.34
95-th percentile12.036
Maximum17.87
Range17.86
Interquartile range (IQR)6.53

Descriptive statistics

Standard deviation4.029189
Coefficient of variation (CV)0.88881864
Kurtosis-0.59110044
Mean4.5331959
Median Absolute Deviation (MAD)3.2
Skewness0.6625184
Sum7475.24
Variance16.234364
MonotonicityNot monotonic
2023-10-23T16:19:31.319255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 183
 
11.1%
0.49 9
 
0.5%
0.55 8
 
0.5%
0.28 7
 
0.4%
1.29 7
 
0.4%
1.18 7
 
0.4%
0.53 7
 
0.4%
0.54 7
 
0.4%
0.03 7
 
0.4%
0.06 7
 
0.4%
Other values (823) 1400
84.9%
ValueCountFrequency (%)
0.01 183
11.1%
0.02 5
 
0.3%
0.03 7
 
0.4%
0.04 5
 
0.3%
0.05 2
 
0.1%
0.06 7
 
0.4%
0.07 1
 
0.1%
0.08 4
 
0.2%
0.09 3
 
0.2%
0.1 1
 
0.1%
ValueCountFrequency (%)
17.87 1
0.1%
17.31 1
0.1%
16.99 1
0.1%
16.58 1
0.1%
16.35 1
0.1%
15.52 1
0.1%
15.19 1
0.1%
15.14 1
0.1%
15.07 1
0.1%
15.04 2
0.1%

percentage expenditure
Real number (ℝ)

HIGH CORRELATION 

Distinct1645
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean698.97356
Minimum0
Maximum18961.349
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:31.677497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.388851
Q137.438577
median145.10225
Q3509.38999
95-th percentile3670.88
Maximum18961.349
Range18961.349
Interquartile range (IQR)471.95142

Descriptive statistics

Standard deviation1759.2293
Coefficient of variation (CV)2.5168754
Kurtosis30.992195
Mean698.97356
Median Absolute Deviation (MAD)133.95721
Skewness4.9805739
Sum1152607.4
Variance3094887.9
MonotonicityNot monotonic
2023-10-23T16:19:32.013458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
0.3%
334.8174246 1
 
0.1%
2.092343893 1
 
0.1%
2.542436908 1
 
0.1%
36.81621175 1
 
0.1%
218.5716179 1
 
0.1%
21.41123529 1
 
0.1%
253.0007812 1
 
0.1%
275.064434 1
 
0.1%
292.753101 1
 
0.1%
Other values (1635) 1635
99.2%
ValueCountFrequency (%)
0 5
0.3%
0.09987219 1
 
0.1%
0.108055973 1
 
0.1%
0.27564826 1
 
0.1%
0.358651421 1
 
0.1%
0.442802404 1
 
0.1%
0.5305728 1
 
0.1%
0.661540371 1
 
0.1%
0.66751505 1
 
0.1%
0.697215581 1
 
0.1%
ValueCountFrequency (%)
18961.3486 1
0.1%
17028.52798 1
0.1%
16255.16198 1
0.1%
15515.75234 1
0.1%
15345.4907 1
0.1%
12372.05188 1
0.1%
11734.85381 1
0.1%
11714.99858 1
0.1%
11477.6671 1
0.1%
10986.26527 1
0.1%

Hepatitis B
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.217708
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:32.383015image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q174
median89
Q396
95-th percentile99
Maximum99
Range97
Interquartile range (IQR)22

Descriptive statistics

Standard deviation25.604664
Coefficient of variation (CV)0.32321894
Kurtosis2.2314153
Mean79.217708
Median Absolute Deviation (MAD)8
Skewness-1.7933774
Sum130630
Variance655.59881
MonotonicityNot monotonic
2023-10-23T16:19:32.713398image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 137
 
8.3%
95 115
 
7.0%
96 111
 
6.7%
99 109
 
6.6%
97 92
 
5.6%
94 89
 
5.4%
93 61
 
3.7%
92 58
 
3.5%
91 51
 
3.1%
88 51
 
3.1%
Other values (73) 775
47.0%
ValueCountFrequency (%)
2 4
 
0.2%
4 4
 
0.2%
5 6
 
0.4%
6 12
 
0.7%
7 18
 
1.1%
8 30
1.8%
9 45
2.7%
11 1
 
0.1%
12 1
 
0.1%
14 5
 
0.3%
ValueCountFrequency (%)
99 109
6.6%
98 137
8.3%
97 92
5.6%
96 111
6.7%
95 115
7.0%
94 89
5.4%
93 61
3.7%
92 58
3.5%
91 51
 
3.1%
89 51
 
3.1%

Measles
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct603
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2224.4942
Minimum0
Maximum131441
Zeros554
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:33.065204image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3373
95-th percentile8756.8
Maximum131441
Range131441
Interquartile range (IQR)373

Descriptive statistics

Standard deviation10085.802
Coefficient of variation (CV)4.5339753
Kurtosis74.67144
Mean2224.4942
Median Absolute Deviation (MAD)15
Skewness7.9578377
Sum3668191
Variance1.017234 × 108
MonotonicityNot monotonic
2023-10-23T16:19:33.436877image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 554
33.6%
1 73
 
4.4%
2 39
 
2.4%
3 28
 
1.7%
6 18
 
1.1%
7 16
 
1.0%
10 16
 
1.0%
11 13
 
0.8%
8 13
 
0.8%
4 13
 
0.8%
Other values (593) 866
52.5%
ValueCountFrequency (%)
0 554
33.6%
1 73
 
4.4%
2 39
 
2.4%
3 28
 
1.7%
4 13
 
0.8%
5 10
 
0.6%
6 18
 
1.1%
7 16
 
1.0%
8 13
 
0.8%
9 10
 
0.6%
ValueCountFrequency (%)
131441 1
0.1%
124219 1
0.1%
118712 1
0.1%
110927 1
0.1%
109023 1
0.1%
99602 1
0.1%
88962 1
0.1%
79563 1
0.1%
71879 1
0.1%
71093 1
0.1%

BMI
Real number (ℝ)

HIGH CORRELATION 

Distinct538
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.128623
Minimum2
Maximum77.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:33.822763image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.2
Q119.5
median43.7
Q355.8
95-th percentile63.86
Maximum77.1
Range75.1
Interquartile range (IQR)36.3

Descriptive statistics

Standard deviation19.754249
Coefficient of variation (CV)0.51809501
Kurtosis-1.2702262
Mean38.128623
Median Absolute Deviation (MAD)15.8
Skewness-0.23360072
Sum62874.1
Variance390.23037
MonotonicityNot monotonic
2023-10-23T16:19:34.168856image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55.7 10
 
0.6%
58.5 10
 
0.6%
57 10
 
0.6%
57.2 10
 
0.6%
47.9 9
 
0.5%
58.7 9
 
0.5%
56.3 9
 
0.5%
21.2 9
 
0.5%
59.9 9
 
0.5%
58.1 8
 
0.5%
Other values (528) 1556
94.4%
ValueCountFrequency (%)
2 1
 
0.1%
2.1 7
0.4%
2.2 5
0.3%
2.3 4
0.2%
2.4 3
0.2%
2.5 6
0.4%
2.6 3
0.2%
2.7 6
0.4%
2.8 3
0.2%
2.9 3
0.2%
ValueCountFrequency (%)
77.1 1
0.1%
76.7 1
0.1%
76.2 1
0.1%
75.7 1
0.1%
75.2 1
0.1%
74.8 1
0.1%
74.6 1
0.1%
74.3 2
0.1%
74.1 1
0.1%
73.8 2
0.1%

under-five deaths
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct199
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.220133
Minimum0
Maximum2100
Zeros353
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:34.513715image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q329
95-th percentile146.8
Maximum2100
Range2100
Interquartile range (IQR)28

Descriptive statistics

Standard deviation162.898
Coefficient of variation (CV)3.6837971
Kurtosis82.187221
Mean44.220133
Median Absolute Deviation (MAD)4
Skewness8.340863
Sum72919
Variance26535.758
MonotonicityNot monotonic
2023-10-23T16:19:34.828371image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 353
21.4%
1 230
 
13.9%
2 115
 
7.0%
3 93
 
5.6%
4 90
 
5.5%
8 35
 
2.1%
6 32
 
1.9%
12 31
 
1.9%
5 26
 
1.6%
39 23
 
1.4%
Other values (189) 621
37.7%
ValueCountFrequency (%)
0 353
21.4%
1 230
13.9%
2 115
 
7.0%
3 93
 
5.6%
4 90
 
5.5%
5 26
 
1.6%
6 32
 
1.9%
7 20
 
1.2%
8 35
 
2.1%
9 23
 
1.4%
ValueCountFrequency (%)
2100 1
0.1%
2000 2
0.1%
1900 1
0.1%
1800 1
0.1%
1700 1
0.1%
1600 1
0.1%
1500 1
0.1%
1400 1
0.1%
1300 1
0.1%
1200 1
0.1%

Polio
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.564585
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:35.172804image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q181
median93
Q397
95-th percentile99
Maximum99
Range96
Interquartile range (IQR)16

Descriptive statistics

Standard deviation22.450557
Coefficient of variation (CV)0.26866115
Kurtosis5.0635507
Mean83.564585
Median Absolute Deviation (MAD)5
Skewness-2.3601769
Sum137798
Variance504.02753
MonotonicityNot monotonic
2023-10-23T16:19:35.518853image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 186
 
11.3%
98 144
 
8.7%
96 128
 
7.8%
97 114
 
6.9%
95 110
 
6.7%
94 94
 
5.7%
93 61
 
3.7%
92 60
 
3.6%
91 52
 
3.2%
9 46
 
2.8%
Other values (58) 654
39.7%
ValueCountFrequency (%)
3 1
 
0.1%
4 2
 
0.1%
5 1
 
0.1%
6 4
 
0.2%
7 16
 
1.0%
8 28
1.7%
9 46
2.8%
23 1
 
0.1%
24 2
 
0.1%
26 1
 
0.1%
ValueCountFrequency (%)
99 186
11.3%
98 144
8.7%
97 114
6.9%
96 128
7.8%
95 110
6.7%
94 94
5.7%
93 61
 
3.7%
92 60
 
3.6%
91 52
 
3.2%
89 38
 
2.3%

Total expenditure
Real number (ℝ)

Distinct669
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9559248
Minimum0.74
Maximum14.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:35.842149image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.74
5-th percentile1.874
Q14.41
median5.84
Q37.47
95-th percentile9.666
Maximum14.39
Range13.65
Interquartile range (IQR)3.06

Descriptive statistics

Standard deviation2.2993854
Coefficient of variation (CV)0.3860669
Kurtosis-0.010252563
Mean5.9559248
Median Absolute Deviation (MAD)1.52
Skewness0.21336166
Sum9821.32
Variance5.2871733
MonotonicityNot monotonic
2023-10-23T16:19:36.171605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6 12
 
0.7%
5.3 8
 
0.5%
6.7 8
 
0.5%
5.9 8
 
0.5%
5.92 8
 
0.5%
6.88 7
 
0.4%
4.2 7
 
0.4%
4.26 7
 
0.4%
4.56 7
 
0.4%
5.25 7
 
0.4%
Other values (659) 1570
95.2%
ValueCountFrequency (%)
0.74 1
 
0.1%
0.76 1
 
0.1%
0.92 1
 
0.1%
1.1 2
0.1%
1.12 3
0.2%
1.15 2
0.1%
1.17 1
 
0.1%
1.18 2
0.1%
1.19 2
0.1%
1.2 3
0.2%
ValueCountFrequency (%)
14.39 1
0.1%
13.73 1
0.1%
13.66 1
0.1%
13.13 1
0.1%
12.6 1
0.1%
12.24 1
0.1%
12.23 1
0.1%
11.98 1
0.1%
11.97 1
0.1%
11.93 1
0.1%

Diphtheria
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.155246
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:36.510803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q182
median92
Q397
95-th percentile99
Maximum99
Range97
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.579193
Coefficient of variation (CV)0.25642124
Kurtosis5.8556394
Mean84.155246
Median Absolute Deviation (MAD)6
Skewness-2.4874916
Sum138772
Variance465.66156
MonotonicityNot monotonic
2023-10-23T16:19:36.841098image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 180
 
10.9%
98 146
 
8.9%
95 121
 
7.3%
96 117
 
7.1%
97 110
 
6.7%
94 88
 
5.3%
92 64
 
3.9%
93 62
 
3.8%
91 57
 
3.5%
89 48
 
2.9%
Other values (56) 656
39.8%
ValueCountFrequency (%)
2 1
 
0.1%
4 2
 
0.1%
5 5
 
0.3%
6 2
 
0.1%
7 13
 
0.8%
8 26
1.6%
9 38
2.3%
19 1
 
0.1%
23 2
 
0.1%
24 2
 
0.1%
ValueCountFrequency (%)
99 180
10.9%
98 146
8.9%
97 110
6.7%
96 117
7.1%
95 121
7.3%
94 88
5.3%
93 62
 
3.8%
92 64
 
3.9%
91 57
 
3.5%
89 48
 
2.9%

HIV/AIDS
Real number (ℝ)

HIGH CORRELATION 

Distinct167
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.983869
Minimum0.1
Maximum50.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:37.182936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.7
95-th percentile10.62
Maximum50.6
Range50.5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation6.0323597
Coefficient of variation (CV)3.0407046
Kurtosis27.751492
Mean1.983869
Median Absolute Deviation (MAD)0
Skewness4.9741756
Sum3271.4
Variance36.389363
MonotonicityNot monotonic
2023-10-23T16:19:37.577098image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 964
58.5%
0.3 82
 
5.0%
0.2 66
 
4.0%
0.4 51
 
3.1%
0.5 33
 
2.0%
0.6 29
 
1.8%
0.9 20
 
1.2%
0.7 20
 
1.2%
0.8 19
 
1.2%
1.5 13
 
0.8%
Other values (157) 352
 
21.3%
ValueCountFrequency (%)
0.1 964
58.5%
0.2 66
 
4.0%
0.3 82
 
5.0%
0.4 51
 
3.1%
0.5 33
 
2.0%
0.6 29
 
1.8%
0.7 20
 
1.2%
0.8 19
 
1.2%
0.9 20
 
1.2%
1 9
 
0.5%
ValueCountFrequency (%)
50.6 1
0.1%
50.3 1
0.1%
49.9 1
0.1%
49.1 1
0.1%
48.8 1
0.1%
46.4 1
0.1%
43.7 1
0.1%
43.5 1
0.1%
42.1 1
0.1%
40.7 1
0.1%

GDP
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1649
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5566.0319
Minimum1.68135
Maximum119172.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:37.885081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.68135
5-th percentile76.357386
Q1462.14965
median1592.5722
Q34718.5129
95-th percentile28530.454
Maximum119172.74
Range119171.06
Interquartile range (IQR)4256.3633

Descriptive statistics

Standard deviation11475.9
Coefficient of variation (CV)2.0617741
Kurtosis28.015318
Mean5566.0319
Median Absolute Deviation (MAD)1401.2603
Skewness4.5172974
Sum9178386.6
Variance1.3169628 × 108
MonotonicityNot monotonic
2023-10-23T16:19:38.246234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
584.25921 1
 
0.1%
1464.497754 1
 
0.1%
43.646498 1
 
0.1%
116.2743 1
 
0.1%
143.6758 1
 
0.1%
11.147277 1
 
0.1%
115.565314 1
 
0.1%
191.55157 1
 
0.1%
1175.116225 1
 
0.1%
124.992617 1
 
0.1%
Other values (1639) 1639
99.4%
ValueCountFrequency (%)
1.68135 1
0.1%
5.6687264 1
0.1%
8.376432 1
0.1%
11.147277 1
0.1%
11.33678 1
0.1%
11.553196 1
0.1%
11.631377 1
0.1%
12.27733 1
0.1%
12.566464 1
0.1%
12.989164 1
0.1%
ValueCountFrequency (%)
119172.7418 1
0.1%
115761.577 1
0.1%
114293.8433 1
0.1%
113751.85 1
0.1%
89739.7117 1
0.1%
75716.3518 1
0.1%
67792.3386 1
0.1%
67677.63477 1
0.1%
65445.8853 1
0.1%
62245.129 1
0.1%

Population
Real number (ℝ)

Distinct1647
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14653626
Minimum34
Maximum1.2938593 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:38.597304image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile7997.8
Q1191897
median1419631
Q37658972
95-th percentile57855821
Maximum1.2938593 × 109
Range1.2938593 × 109
Interquartile range (IQR)7467075

Descriptive statistics

Standard deviation70460393
Coefficient of variation (CV)4.8083931
Kurtosis230.16446
Mean14653626
Median Absolute Deviation (MAD)1391355
Skewness14.186299
Sum2.4163829 × 1010
Variance4.964667 × 1015
MonotonicityNot monotonic
2023-10-23T16:19:38.943222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
718239 2
 
0.1%
1141 2
 
0.1%
33736494 1
 
0.1%
5666581 1
 
0.1%
526796 1
 
0.1%
5175 1
 
0.1%
5171734 1
 
0.1%
524879 1
 
0.1%
53973 1
 
0.1%
5379328 1
 
0.1%
Other values (1637) 1637
99.3%
ValueCountFrequency (%)
34 1
0.1%
36 1
0.1%
41 1
0.1%
43 1
0.1%
135 1
0.1%
146 1
0.1%
286 1
0.1%
292 1
0.1%
297 1
0.1%
312 1
0.1%
ValueCountFrequency (%)
1293859294 1
0.1%
1179681239 1
0.1%
1161977719 1
0.1%
1144118674 1
0.1%
1126135777 1
0.1%
255131116 1
0.1%
248883232 1
0.1%
242524123 1
0.1%
236159276 1
0.1%
232989141 1
0.1%

thinness 1-19 years
Real number (ℝ)

HIGH CORRELATION 

Distinct179
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8506367
Minimum0.1
Maximum27.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:39.301646image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.6
Q11.6
median3
Q37.1
95-th percentile15.04
Maximum27.2
Range27.1
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.5992284
Coefficient of variation (CV)0.94817003
Kurtosis4.1593459
Mean4.8506367
Median Absolute Deviation (MAD)2.1
Skewness1.8210735
Sum7998.7
Variance21.152902
MonotonicityNot monotonic
2023-10-23T16:19:39.651634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 42
 
2.5%
1.9 41
 
2.5%
2.2 40
 
2.4%
1 39
 
2.4%
2.1 38
 
2.3%
0.8 37
 
2.2%
2.3 36
 
2.2%
1.1 34
 
2.1%
1.7 34
 
2.1%
0.6 32
 
1.9%
Other values (169) 1276
77.4%
ValueCountFrequency (%)
0.1 21
1.3%
0.2 24
1.5%
0.3 5
 
0.3%
0.5 26
1.6%
0.6 32
1.9%
0.7 31
1.9%
0.8 37
2.2%
0.9 32
1.9%
1 39
2.4%
1.1 34
2.1%
ValueCountFrequency (%)
27.2 2
0.1%
27.1 2
0.1%
27 3
0.2%
26.9 2
0.1%
26.8 2
0.1%
21.6 1
 
0.1%
21.4 1
 
0.1%
21.2 1
 
0.1%
21 1
 
0.1%
19.9 2
0.1%

thinness 5-9 years
Real number (ℝ)

HIGH CORRELATION 

Distinct185
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9077623
Minimum0.1
Maximum28.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:39.978903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11.7
median3.2
Q37.1
95-th percentile14.8
Maximum28.2
Range28.1
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation4.6537567
Coefficient of variation (CV)0.94824412
Kurtosis4.5198334
Mean4.9077623
Median Absolute Deviation (MAD)2.3
Skewness1.8669799
Sum8092.9
Variance21.657452
MonotonicityNot monotonic
2023-10-23T16:19:40.274796image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 45
 
2.7%
2.1 45
 
2.7%
0.5 40
 
2.4%
1.1 39
 
2.4%
1.7 36
 
2.2%
0.9 36
 
2.2%
0.6 35
 
2.1%
1.3 34
 
2.1%
2.5 32
 
1.9%
2 32
 
1.9%
Other values (175) 1275
77.3%
ValueCountFrequency (%)
0.1 28
1.7%
0.2 22
1.3%
0.4 8
 
0.5%
0.5 40
2.4%
0.6 35
2.1%
0.7 24
1.5%
0.8 19
1.2%
0.9 36
2.2%
1 23
1.4%
1.1 39
2.4%
ValueCountFrequency (%)
28.2 1
0.1%
28.1 1
0.1%
28 2
0.1%
27.9 1
0.1%
27.8 2
0.1%
27.7 1
0.1%
27.6 1
0.1%
27.5 1
0.1%
27.4 1
0.1%
22 1
0.1%

Income composition of resources
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct548
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63155124
Minimum0
Maximum0.936
Zeros48
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:40.609069image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3564
Q10.509
median0.673
Q30.751
95-th percentile0.877
Maximum0.936
Range0.936
Interquartile range (IQR)0.242

Descriptive statistics

Standard deviation0.18308873
Coefficient of variation (CV)0.2899032
Kurtosis2.0611921
Mean0.63155124
Median Absolute Deviation (MAD)0.107
Skewness-1.1552436
Sum1041.428
Variance0.033521482
MonotonicityNot monotonic
2023-10-23T16:19:40.927792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
2.9%
0.7 16
 
1.0%
0.739 10
 
0.6%
0.703 10
 
0.6%
0.714 10
 
0.6%
0.712 9
 
0.5%
0.737 9
 
0.5%
0.725 9
 
0.5%
0.695 8
 
0.5%
0.723 8
 
0.5%
Other values (538) 1512
91.7%
ValueCountFrequency (%)
0 48
2.9%
0.279 1
 
0.1%
0.286 1
 
0.1%
0.29 1
 
0.1%
0.298 1
 
0.1%
0.307 1
 
0.1%
0.309 1
 
0.1%
0.311 1
 
0.1%
0.312 1
 
0.1%
0.318 2
 
0.1%
ValueCountFrequency (%)
0.936 1
0.1%
0.933 1
0.1%
0.93 1
0.1%
0.927 2
0.1%
0.925 1
0.1%
0.923 1
0.1%
0.922 1
0.1%
0.921 2
0.1%
0.92 1
0.1%
0.919 1
0.1%

Schooling
Real number (ℝ)

HIGH CORRELATION 

Distinct147
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.119891
Minimum4.2
Maximum20.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:41.275695image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile7.24
Q110.3
median12.3
Q314
95-th percentile16.3
Maximum20.7
Range16.5
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation2.7953875
Coefficient of variation (CV)0.23064461
Kurtosis0.045707553
Mean12.119891
Median Absolute Deviation (MAD)1.9
Skewness-0.1281642
Sum19985.7
Variance7.8141915
MonotonicityNot monotonic
2023-10-23T16:19:41.605414image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.9 44
 
2.7%
12.5 35
 
2.1%
12.8 33
 
2.0%
12.3 31
 
1.9%
10.7 31
 
1.9%
11.9 31
 
1.9%
12.7 28
 
1.7%
13.5 28
 
1.7%
12.4 28
 
1.7%
13.2 26
 
1.6%
Other values (137) 1334
80.9%
ValueCountFrequency (%)
4.2 1
 
0.1%
4.4 1
 
0.1%
4.5 2
 
0.1%
4.7 2
 
0.1%
4.8 1
 
0.1%
4.9 1
 
0.1%
5 3
0.2%
5.1 2
 
0.1%
5.2 4
0.2%
5.3 5
0.3%
ValueCountFrequency (%)
20.7 1
 
0.1%
20.6 1
 
0.1%
20.5 1
 
0.1%
20.4 1
 
0.1%
20.3 3
0.2%
20.1 2
0.1%
19.8 1
 
0.1%
19.5 1
 
0.1%
19.1 2
0.1%
19 1
 
0.1%

Life expectancy
Real number (ℝ)

HIGH CORRELATION 

Distinct320
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.302304
Minimum44
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.0 KiB
2023-10-23T16:19:41.959725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile52.24
Q164.4
median71.7
Q375
95-th percentile81.56
Maximum89
Range45
Interquartile range (IQR)10.6

Descriptive statistics

Standard deviation8.7968341
Coefficient of variation (CV)0.12693422
Kurtosis0.040320501
Mean69.302304
Median Absolute Deviation (MAD)5.1
Skewness-0.62875808
Sum114279.5
Variance77.384291
MonotonicityNot monotonic
2023-10-23T16:19:42.302142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 36
 
2.2%
75 20
 
1.2%
73.9 19
 
1.2%
78 17
 
1.0%
74.5 17
 
1.0%
76 16
 
1.0%
73.6 16
 
1.0%
72 15
 
0.9%
72.8 15
 
0.9%
74.2 14
 
0.8%
Other values (310) 1464
88.8%
ValueCountFrequency (%)
44 1
 
0.1%
44.3 1
 
0.1%
44.5 2
0.1%
44.6 2
0.1%
44.8 2
0.1%
45.1 1
 
0.1%
45.3 3
0.2%
45.4 1
 
0.1%
45.5 1
 
0.1%
45.6 1
 
0.1%
ValueCountFrequency (%)
89 7
0.4%
88 6
0.4%
87 3
 
0.2%
86 8
0.5%
85 5
0.3%
84 6
0.4%
83 9
0.5%
82.7 1
 
0.1%
82.6 1
 
0.1%
82.5 2
 
0.1%

Interactions

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2023-10-23T16:18:30.485243image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:18:36.543211image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:18:42.524197image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:18:48.644983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:18:55.505870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:19:01.656223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:19:07.771600image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:19:13.844359image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-10-23T16:19:19.987938image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-10-23T16:19:42.627909image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
YearAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchoolingLife expectancyStatus
Year1.000-0.0150.010-0.1780.1350.118-0.0520.0540.015-0.0050.0470.0260.0520.1420.0510.0100.0070.0960.0950.0560.000
Adult Mortality-0.0151.0000.342-0.222-0.323-0.1650.138-0.3880.358-0.255-0.176-0.2650.524-0.3290.1000.3960.414-0.524-0.464-0.6560.311
infant deaths0.0100.3421.000-0.337-0.424-0.2940.557-0.4540.993-0.355-0.212-0.3430.427-0.4110.4860.4360.452-0.525-0.547-0.5210.043
Alcohol-0.178-0.222-0.3371.0000.4480.177-0.1210.375-0.3330.3240.2570.338-0.2000.4540.033-0.432-0.4150.6160.6050.4520.741
percentage expenditure0.135-0.323-0.4240.4481.0000.190-0.1990.432-0.4270.2750.2630.287-0.3660.927-0.029-0.437-0.4440.6240.6130.5770.465
Hepatitis B0.118-0.165-0.2940.1770.1901.000-0.2120.189-0.2920.7560.1140.785-0.2880.217-0.116-0.077-0.0920.3370.3510.2980.189
Measles-0.0520.1380.557-0.121-0.199-0.2121.000-0.2450.560-0.199-0.172-0.2010.129-0.1600.3110.3120.336-0.203-0.226-0.2500.000
BMI0.054-0.388-0.4540.3750.4320.189-0.2451.000-0.4670.2480.2470.249-0.4770.446-0.065-0.593-0.6090.6230.6210.5840.478
under-five deaths0.0150.3580.993-0.333-0.427-0.2920.560-0.4671.000-0.353-0.214-0.3410.454-0.4160.4820.4450.459-0.536-0.557-0.5380.037
Polio-0.005-0.255-0.3550.3240.2750.756-0.1990.248-0.3531.0000.1410.931-0.3740.304-0.090-0.195-0.2090.4790.4680.4350.274
Total expenditure0.047-0.176-0.2120.2570.2630.114-0.1720.247-0.2140.1411.0000.153-0.0920.182-0.086-0.279-0.3060.2360.2720.2710.325
Diphtheria0.026-0.265-0.3430.3380.2870.785-0.2010.249-0.3410.9310.1531.000-0.3670.313-0.076-0.201-0.2100.4910.4800.4480.275
HIV/AIDS0.0520.5240.427-0.200-0.366-0.2880.129-0.4770.454-0.374-0.092-0.3671.000-0.4030.0940.4790.458-0.630-0.580-0.7200.105
GDP0.142-0.329-0.4110.4540.9270.217-0.1600.446-0.4160.3040.1820.313-0.4031.000-0.027-0.403-0.4070.6530.6320.5710.499
Population0.0510.1000.4860.033-0.029-0.1160.311-0.0650.482-0.090-0.086-0.0760.094-0.0271.0000.0800.090-0.038-0.047-0.0800.041
thinness 1-19 years0.0100.3960.436-0.432-0.437-0.0770.312-0.5930.445-0.195-0.279-0.2010.479-0.4030.0801.0000.930-0.600-0.581-0.6200.359
thinness 5-9 years0.0070.4140.452-0.415-0.444-0.0920.336-0.6090.459-0.209-0.306-0.2100.458-0.4070.0900.9301.000-0.591-0.574-0.6300.362
Income composition of resources0.096-0.524-0.5250.6160.6240.337-0.2030.623-0.5360.4790.2360.491-0.6300.653-0.038-0.600-0.5911.0000.9090.8490.662
Schooling0.095-0.464-0.5470.6050.6130.351-0.2260.621-0.5570.4680.2720.480-0.5800.632-0.047-0.581-0.5740.9091.0000.7750.597
Life expectancy0.056-0.656-0.5210.4520.5770.298-0.2500.584-0.5380.4350.2710.448-0.7200.571-0.080-0.620-0.6300.8490.7751.0000.572
Status0.0000.3110.0430.7410.4650.1890.0000.4780.0370.2740.3250.2750.1050.4990.0410.3590.3620.6620.5970.5721.000

Missing values

2023-10-23T16:19:26.395480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-23T16:19:27.180451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

YearStatusAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchoolingLife expectancy
02015Developing263.0620.0171.27962465.0115419.1836.08.1665.00.1584.25921033736494.017.217.30.47910.165.0
12014Developing271.0640.0173.52358262.049218.68658.08.1862.00.1612.696514327582.017.517.50.47610.059.9
22013Developing268.0660.0173.21924364.043018.18962.08.1364.00.1631.74497631731688.017.717.70.4709.959.9
32012Developing272.0690.0178.18421567.0278717.69367.08.5267.00.1669.9590003696958.017.918.00.4639.859.5
42011Developing275.0710.017.09710968.0301317.29768.07.8768.00.163.5372312978599.018.218.20.4549.559.2
52010Developing279.0740.0179.67936766.0198916.710266.09.2066.00.1553.3289402883167.018.418.40.4489.258.8
62009Developing281.0770.0156.76221763.0286116.210663.09.4263.00.1445.893298284331.018.618.70.4348.958.6
72008Developing287.0800.0325.87392564.0159915.711064.08.3364.00.1373.3611162729431.018.818.90.4338.758.1
82007Developing295.0820.0210.91015663.0114115.211363.06.7363.00.1369.83579626616792.019.019.10.4158.457.5
92006Developing295.0840.0317.17151864.0199014.711658.07.4358.00.1272.5637702589345.019.219.30.4058.157.3
YearStatusAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 1-19 yearsthinness 5-9 yearsIncome composition of resourcesSchoolingLife expectancy
16392009Developing587.0304.641.04002173.085329.04569.06.2673.018.165.8241211381599.07.57.40.4199.950.0
16402008Developing632.0303.5620.84342975.0028.64675.04.9675.020.5325.67857313558469.07.87.80.4219.748.2
16412007Developing67.0293.8829.81456672.024228.24673.04.4773.023.7396.9982171332999.08.28.20.4149.646.6
16422006Developing7.0284.5734.26216968.021227.94571.05.127.026.8414.79623213124267.08.68.60.4089.545.4
16432005Developing717.0284.148.71740965.042027.54369.06.4468.030.3444.765750129432.09.09.00.4069.344.6
16442004Developing723.0274.360.00000068.03127.14267.07.1365.033.6454.36665412777511.09.49.40.4079.244.3
16452003Developing715.0264.060.0000007.099826.7417.06.5268.036.7453.35115512633897.09.89.90.4189.544.5
16462002Developing73.0254.430.00000073.030426.34073.06.5371.039.857.348340125525.01.21.30.42710.044.8
16472001Developing686.0251.720.00000076.052925.93976.06.1675.042.1548.58731212366165.01.61.70.4279.845.3
16482000Developing665.0241.680.00000079.0148325.53978.07.1078.043.5547.35887912222251.011.011.20.4349.846.0